New image-quality measure based on wavelets (CROSBI ID 158222)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Dumić, Emil ; Grgić, Sonja ; Grgić, Mislav
engleski
New image-quality measure based on wavelets
We present an innovative approach to the objective quality evaluation that could be computed using the mean difference between the original and tested images in different wavelet subbands. Discrete wavelet transform (DWT) subband decomposition properties are similar to human visual system characteristics facilitating integration of DWT into image-quality evaluation. DWT decomposition is done with multiresolution analysis of a signal that allows us to decompose a signal into approximation and detail subbands. DWT coefficients were computed using reverse biorthogonal spline wavelet filter banks. Wavelet coefficients are used to compute new image-quality measure (IQM). IQM is defined as perceptual weighted difference between coefficients of original and degraded image.
Image Quality; Channel Bank Filters; Image Resolution; Wavelet Transforms
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Podaci o izdanju
19 (1)
2010.
011018-1-011018-19
objavljeno
1017-9909
10.1117/1.3293435
Povezanost rada
Elektrotehnika, Računarstvo